## Replications by Solomon Negash Using Python Examples ### I INTRODUCTION AND BACKGROUND

Chapter 1. Introduction
Chapter 2. Conditional Expectations and Related Concepts in Econometrics
Chapter 3. Basic Asymptotic Theory

### II LINEAR MODELS

Chapter 4. Single-Equation Linear Model and Ordinary Least Squares Estimation [Python]
Chapter 5. Instrumental Variables Estimation of Single-Equation Linear Models [Python]
Chapter 6. Additional Single-Equation Topics [Python]
Chapter 7. Estimating Systems of Equations by Ordinary Least Squares and Generalized Least Squares [Python]
Chapter 8. System Estimation by Instrumental Variables
Chapter 9. Simultaneous Equations Models [Python]
Chapter 10. Basic Linear Unobserved Effects Panel Data Models [Python]
Chapter 11. More Topics in Linear Unobserved Effects Models [Python]

### III GENERAL APPROACHES TO NONLINEAR ESTIMATION

Chapter 12. M-Estimation, Nonlinear Regression, and Quantile Regression [Python]
Chapter 13. Maximum Likelihood Methods
Chapter 14. Generalized Method of Moments and Minimum Distance Estimation

### IV NONLINEAR MODELS AND RELATED TOPICS

Chapter 15. Binary Response Models [Python]
Chapter 16. Multinomial and Ordered Response Model [Python]
Chapter 17. Corner Solution Responses [Python]
Chapter 18. Count, Fractional, and Other Nonnegative Responses [Python]
Chapter 19. Censored Data, Sample Selection, and Attrition [Python]
Chapter 20. Stratified Sampling and Cluster Sampling [Python]
Chapter 21. Estimating Average Treatment Effects [Python]
Chapter 22. Duration Analysis [Python]